{"id":"W6930088011","doi":"10.5061/dryad.5dv41nsbh","title":"Morphology of Arctic cod (Boreogadus saida) assessed according to habitat preference and age in the Beaufort Sea","year":2023,"lang":"en","type":"dataset","venue":"Open MIND","topic":"Data Analysis with R","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; McGill University","funders":"Fonds de recherche du Québec – Nature et technologies; McGill University","keywords":"Arctic; Habitat; Beaufort sea; Beaufort scale; Ecotype; Marine habitats; Trophic level; Morphology (biology)","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.001524158,0.0002764547,0.0006760558,0.0004158003,0.00007856193,0.0006830674,0.006659183,0.0001694981,0.00003756583],"category_scores_gemma":[0.0004616414,0.0002118964,0.00005307906,0.001336057,0.00009814139,0.0005439742,0.003698102,0.0004270923,0.0007207316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005023625,"about_ca_system_score_gemma":0.0002116266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00274487,"about_ca_topic_score_gemma":0.01431016,"domain_scores_codex":[0.9974397,0.0002839559,0.0004963584,0.0009207812,0.0004792475,0.0003798861],"domain_scores_gemma":[0.9968352,0.000645599,0.0002970719,0.002047979,0.00007545169,0.0000987465],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001800468,0.0001141604,0.002834374,0.00007219225,0.00008995584,0.000668719,0.0003099371,0.00003286354,0.00008186678,0.00003008303,0.9887233,0.007024521],"study_design_scores_gemma":[0.001387262,0.0006950421,0.05777828,0.0009222853,0.0004051446,0.0001485038,0.001070148,0.0008125663,0.0002650897,0.0005777098,0.9345822,0.001355736],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.02232912,0.00004485331,0.001302203,0.0007946349,0.0003358474,0.001338206,0.9735723,0.000004848927,0.0002780466],"genre_scores_gemma":[0.02206617,0.00007974626,0.01894807,0.0004273142,0.00005739345,0.0001699506,0.9580285,0.00002405164,0.0001988254],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05494391,"threshold_uncertainty_score":0.9987153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0978271487920984,"score_gpt":0.3459765023933427,"score_spread":0.2481493536012442,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}